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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4779
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    instructions related to food preparation and handling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     debido
    -0.78
     due
    -0.76
     devido
    -0.75
    due
    -0.75
     Due
    -0.66
    Due
    -0.63
     aufgrund
    -0.61
     infolge
    -0.60
     بسبب
    -0.60
     owing
    -0.58
    POSITIVE LOGITS
     yourself
    1.12
     preferably
    1.02
    preferably
    0.89
    yourself
    0.85
     your
    0.84
     YOURSELF
    0.84
     then
    0.81
     yourselves
    0.80
    your
    0.77
     carefully
    0.76
    Activations Density 0.712%

    No Known Activations